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    Home/Jobs/Agentic AI Engineer

    Agentic AI Engineer

    Dice

    United States
    5+ years
    Today
    ₹23–44 LPA
    Contract
    Remote

    Skills Required

    LLM
    Claude
    Gen AI
    LangChain
    RAG
    Vector Database
    OpenAI
    Anthropic
    Python
    Java
    Node.js
    Go
    JavaScript/TypeScript
    LangGraph
    CrewAI

    Description

    We are seeking a highly skilled Agentic AI Engineer / Applied AI Engineer to design, develop, and deploy next-generation AI systems that leverage Large Language Models (LLMs), autonomous agents, retrieval systems, and intelligent workflows to solve complex enterprise problems.

    Role: Agentic AI Engineer

    Location: Remote

    Experience:

    • 5+ years of software engineering experience
    • 2+ years of hands-on experience building Generative AI or LLM-based applications
    • 1+ Claude MCP integrations

    Key Skills:

    • Agentic
    • LLM
    • Claude
    • Generative AI
    • LangChain
    • LangGraph
    • CrewAI
    • AutoGen
    • Semantic Kernel
    • Python
    • Java
    • Node.js
    • Go
    • AWS
    • Azure
    • Google Cloud Platform
    • Docker
    • Kubernetes
    • OpenAI
    • Anthropic
    • Pinecone
    • Weaviate
    • FAISS
    • ChromaDB

    Qualification:

    • Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related field

    Role Focus:

    • Design and implement intelligent AI agents capable of reasoning, planning, tool usage, memory management, and multi-step workflow execution
    • Build production-grade LLM applications
    • Develop Retrieval-Augmented Generation (RAG) pipelines
    • Create autonomous workflows
    • Fine-tune, evaluate, and optimize LLMs and generative AI systems
    • Develop prompt engineering strategies
    • Implement AI observability, monitoring, hallucination detection, and performance optimization solutions
    • Lead technical design discussions and architecture reviews
    • Mentor junior engineers
    • Collaborate with product managers, data scientists, architects, and business stakeholders

    Nice to have:

    • Experience with multi-agent orchestration systems
    • Familiarity with AI governance, responsible AI, and enterprise security standards
    • Experience deploying AI systems in healthcare, retail, insurance, or pharmacy domains
    • Knowledge of reinforcement learning, model fine-tuning, or evaluation frameworks
    • Contributions to open-source AI projects or published technical research
    • Healthcare or pharmacy technology experience
    • Experience building conversational AI platforms or enterprise copilots
    • Knowledge of HIPAA, compliance, and regulated AI environments
    • Exposure to graph-based orchestration and workflow engines

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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